The recent events in Afghanistan are not just about Afghanistan, but rather about how we work and the ecosystem in which we work. Here are 10 things to do.
Humanitarian Data: 10 Things to Do
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From the Blog on Artificial Intelligence
Two Important Articles to Read
Please read the two articles below. Add them to your reading list. They are different but also related. Data, more data, and technology are not our saviour.
Predictive Analytics and Humans
Predictions are cool and fun, but the human side of digital remains the hard part. Projects should split spending their resources accordingly.
Who is Responsible?
Algorithms are not responsible. We are responsible, even when we choose to give over power and decision rights to algorithms.
To be Generous is to be Human
Efficiency has no room for being generous, it is single minded in its pursuit. It has no room for letting the little brother be the hero.
Explainability is Under Rated
Explainability is under rated. When we can explain how system works, we can see how the information changes along the way.
Another Bias
When we use data from the privileged to understand the vulnerable, we’re unlikely to succeed – the data is biased. It is important to realise this.
Assume Bias not Objectivity
We often assume data and the interpretation of it is objective. Assuming bias is likely a better assumption than assuming objectivity.
Mass market Artificial Intelligence = SIRI
In my last post I talked about how an app has been created using the iPad and iPhone technology to assist communication ability between those with certain types of disabilities. Today, I'm talking about Apple and disabilities again - and it's not just because I tend...